Triple
T22449500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K7 |
E554951
|
entity |
| Predicate | partOfSeries |
P1761
|
FINISHED |
| Object | Bluebird vehicles |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bluebird vehicles | Statement: [K7, partOfSeries, Bluebird vehicles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bluebird vehicles Context triple: [K7, partOfSeries, Bluebird vehicles]
-
A.
Bluebird cars and boats
Bluebird cars and boats is the British project and brand behind Donald Campbell’s famous Bluebird land and water speed record vehicles.
-
B.
Bluebird CN7
Bluebird CN7 was a jet-powered land speed record car driven by Donald Campbell in the early 1960s in his pursuit of world speed records.
-
C.
Bluebird K7
chosen
Bluebird K7 was a jet-powered hydroplane famously used by Donald Campbell in the 1950s and 1960s to set multiple world water speed records.
-
D.
Sinclair Vehicles
Sinclair Vehicles was a British company best known for producing the Sinclair C5, an early and ultimately unsuccessful attempt at a small electric personal vehicle in the 1980s.
-
E.
Main Street Vehicles
Main Street Vehicles is a classic Disneyland attraction featuring vintage-style vehicles that transport guests along Main Street, U.S.A.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ae8a08190ba6027f036ce62af |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.